Archives: Agenda

• What intelligent automation has actually delivered vs. where expectations have fallen short
• Cutting through the hype: what’s realistically achievable today and what’s coming next
• Why people remain the critical success factor in automation and AI

MODERATOR: Craig Beattie, Principal Analyst, Celent

Automation, AI, Workflows, Operational Excellence

Underwriting, AI, CX, Product, and Market Forces

Most insurers are constrained by legacy systems, but what happens when there is none?

• Why most transformation fails before technology even matters
• Designing workflows before selecting tools or models
• What an agentic operating model actually requires at day zero

The most promising insurance tech you haven’t heard of yet.

What problem each solves — and why it matters now.

Early signals of where the market is going. What operators should watch out for next

Speaker tbc, MailMetrics

• Why organisations overestimate model limitations and underestimate process design
• The gap between what AI can do and what firms actually implement
• How to move from experimentation to repeatable, operational use cases
• What separates scalable AI programmes from stalled pilots

The shift from projects to performance: capability, speed and measurable outcomes.

The new rules of value creation are simple. Data’s value has always been contextual – the decision it informs, the model it trains, the risk it quantifies. We explore designing for the decision, not the dataset. Architecture decisions in year one become your cost structure in year three – architecture is a product strategy decision rather than a technology one. And the most valuable data investments you can make today are for use cases you haven’t built yet. The organisations that understand all three value levers are building a structural advantage that gets harder to close every year.